Evolving the best known approximation to the Q function. - Dao Ngoc Phong; Nguyen Xuan Hoai; Robert Ian (Bob) McKay; Constantin Siriteanu; Nguyen Quang Uy; Namyong Park (GECCO, 2012)

Cutting evaluation costs: An investigation into early termination in genetic programming. - Namyong Park; Kangil Kim; Robert I. McKay (IEEE Congress on Evolutionary Computation, 2013)

BIGtensor: Mining Billion-Scale Tensor Made Easy. - Namyong Park; Byungsoo Jeon; Jungwoo Lee; U Kang (CIKM, 2016)

Partition Aware Connected Component Computation in Distributed Systems. - Ha-Myung Park; Namyong Park; Sung-Hyon Myaeng; U Kang (ICDM, 2016)

Fast and Scalable Distributed Boolean Tensor Factorization. - Namyong Park; Sejoon Oh; U Kang (ICDE, 2017)

BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. - Jinhong Jung; Namyong Park; Lee Sael; U Kang (SIGMOD Conference, 2017)

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. - Sejoon Oh; Namyong Park; Lee Sael; U Kang (ICDE, 2018)

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. - Namyong Park; Andrey Kan; Xin Luna Dong; Tong Zhao 002; Christos Faloutsos (KDD, 2019)

High-Performance Tucker Factorization on Heterogeneous Platforms. - Sejoon Oh; Namyong Park; Jun-Gi Jang; Lee Sael; U Kang (IEEE Trans. Parallel Distributed Syst., 2019)

Fast and scalable method for distributed Boolean tensor factorization. - Namyong Park; Sejoon Oh; U Kang (VLDB J., 2019)

J-Recs: Principled and Scalable Recommendation Justification. - Namyong Park; Andrey Kan; Christos Faloutsos; Xin Luna Dong (ICDM, 2020)

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. - Namyong Park; Andrey Kan; Xin Luna Dong; Tong Zhao 002; Christos Faloutsos (KDD, 2020)

Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning. - Byungsoo Jeon; Namyong Park; Seojin Bang (CoRR, 2020)

Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos. - Byungsoo Jeon; Namyong Park (CoRR, 2020)

INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection. - Meng-Chieh Lee; Catalina Vajiac; Aayushi Kulshrestha; Sacha Levy; Namyong Park; Cara Jones; Reihaneh Rabbany; Christos Faloutsos (ICDE, 2021)

Knowledge-Based Dynamic Systems Modeling: A Case Study on Modeling River Water Quality. - Namyong Park; Minhyeok Kim 001; Nguyen Xuan Hoai; Robert I. McKay; Dong-Kyun Kim (ICDE, 2021)

Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality. - Namyong Park; Minhyeok Kim 001; Nguyen Xuan Hoai; Robert I. McKay; Dong-Kyun Kim (CoRR, 2021)

TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. - Mirela T. Cazzolato; Saranya Vijayakumar; Xinyi Zheng; Namyong Park; Meng-Chieh Lee; Pedro Fidalgo; Bruno Lages; Agma J. M. Traina; Christos Faloutsos (IEEE Big Data, 2022)

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. - Namyong Park; Fuchen Liu; Purvanshi Mehta; Dana Cristofor; Christos Faloutsos; Yuxiao Dong (WSDM, 2022)

VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. - Pratheeksha Nair; Yifei Li; Catalina Vajiac; Andreas M. Olligschlaeger; Meng-Chieh Lee; Namyong Park; Duen Horng Chau; Christos Faloutsos; Reihaneh Rabbany (WWW (Companion Volume), 2022)

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. - Namyong Park; Ryan A. Rossi; Eunyee Koh; Iftikhar Ahamath Burhanuddin; Sungchul Kim; Fan Du; Nesreen K. Ahmed; Christos Faloutsos (WWW, 2022)

CGC: Contrastive Graph Clustering for Community Detection and Tracking. - Namyong Park; Ryan A. Rossi; Eunyee Koh; Iftikhar Ahamath Burhanuddin; Sungchul Kim; Fan Du; Nesreen K. Ahmed; Christos Faloutsos (CoRR, 2022)

AutoGML: Fast Automatic Model Selection for Graph Machine Learning. - Namyong Park; Ryan A. Rossi; Nesreen K. Ahmed; Christos Faloutsos (CoRR, 2022)

Mining and Learning With Graphs and Tensors - Namyong Park (2022)

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. - Mirela T. Cazzolato; Saranya Vijayakumar; Xinyi Zheng; Namyong Park; Meng-Chieh Lee; Duen Horng Chau; Pedro Fidalgo; Bruno Lages; Agma J. M. Traina; Christos Faloutsos (AAAI, 2023)

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. - Mirela Teixeira Cazzolato; Saranya Vijayakumar; Meng-Chieh Lee; Catalina Vajiac; Namyong Park; Pedro Fidalgo; Agma J. M. Traina; Christos Faloutsos (CIKM, 2023)

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. - Namyong Park; Ryan A. Rossi; Nesreen K. Ahmed; Christos Faloutsos (ICLR, 2023)

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. - Namyong Park; Ryan A. Rossi; Xing Wang; Antoine Simoulin; Nesreen K. Ahmed; Christos Faloutsos (NeurIPS, 2023)

On Graph Time-Series Representations for Temporal Networks. - Ryan A. Rossi; Nesreen K. Ahmed; Namyong Park (WWW (Companion Volume), 2023)

Leveraging Graph Diffusion Models for Network Refinement Tasks. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (CoRR, 2023)

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. - Catalina Vajiac; Duen Horng Chau; Andreas M. Olligschlaeger; Rebecca Mackenzie; Pratheeksha Nair; Meng-Chieh Lee; Yifei Li; Namyong Park; Reihaneh Rabbany; Christos Faloutsos (IEEE Trans. Vis. Comput. Graph., 2023)

DeltaShield: Information Theory for Human- Trafficking Detection. - Catalina Vajiac; Meng-Chieh Lee; Aayushi Kulshrestha; Sacha Levy; Namyong Park; Andreas M. Olligschlaeger; Cara Jones; Reihaneh Rabbany; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2023)

Memory-Efficient Fine-Tuning of Transformers via Token Selection. - Antoine Simoulin; Namyong Park; Xiaoyi Liu; Grey Yang (EMNLP, 2024)

Forward Learning of Graph Neural Networks. - Namyong Park; Xing Wang; Antoine Simoulin; Shuai Yang; Grey Yang; Ryan A. Rossi; Puja Trivedi; Nesreen K. Ahmed (ICLR, 2024)

Editing Partially Observable Networks via Graph Diffusion Models. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (ICML, 2024)

Large Generative Graph Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

GRS-QA - Graph Reasoning-Structured Question Answering Dataset. - Anish Pahilajani; Devasha Trivedi; Jincen Shuai; Khin S. Yone; Samyak Rajesh Jain; Namyong Park; Ryan A. Rossi; Nesreen K. Ahmed; Franck Dernoncourt; Yu Wang 160 (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (CoRR, 2024)

Fairness-Aware Graph Neural Networks: A Survey. - April Chen; Ryan A. Rossi; Namyong Park; Puja Trivedi; Yu Wang 160; Tong Yu 001; Sungchul Kim; Franck Dernoncourt; Nesreen K. Ahmed (ACM Trans. Knowl. Discov. Data, 2024)

GUI Agents: A Survey. - Dang Nguyen; Jian Chen 043; Yu Wang 160; Gang Wu 013; Namyong Park; Zhengmian Hu; Hanjia Lyu; Junda Wu; Ryan Aponte; Yu Xia 007; Xintong Li 001; Jing Shi 005; et al. (ACL (Findings), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

A Large-scale Training Paradigm for Graph Generative Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (ICLR, 2025)

Investigating the Automotive HPC Safety Architecture for Software Defined Vehicle. - Jingu Park; Jongil Jeong; Byungju Kim; Sehwan Park; Myungmin Lee; Donghwa Yun; Namyong Park (IRPS, 2025)

Demystifying the Power of Large Language Models in Graph Generation. - Yu Wang 160; Ryan A. Rossi; Namyong Park; Nesreen K. Ahmed; Danai Koutra; Franck Dernoncourt; Tyler Derr (NAACL (Findings), 2025)

Personalized Graph-Based Retrieval for Large Language Models. - Steven Au; Cameron J. Dimacali; Ojasmitha Pedirappagari; Namyong Park; Franck Dernoncourt; Yu Wang 160; Nikos Kanakaris; Hanieh Deilamsalehy; Ryan A. Rossi; Nesreen K. Ahmed (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)